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Natural language processing / Statements / Knowledge representation / Philosophy of language / Automatic summarization / WordNet / Semantic similarity / Multi-document summarization / Proposition / Linguistics / Computational linguistics / Science


Description of S QUASH, the SFU Question Answering Summary Handler for the DUC-2006 Summarization Task Gabor Melli, Zhongmin Shi, Yang Wang, Yudong Liu, Anoop Sarkar and Fred Popowich School of Computing Science, Simon F
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Document Date: 2006-10-03 09:55:04


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File Size: 184,28 KB

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City

Ann Arbor / Concept / Providence / Boston / /

Company

PropBank / MIT Press / SU4 / /

Country

Colombia / /

Event

Product Issues / Product Recall / /

IndustryTerm

web interface / subsequent processing / graph search / law-enforcement / sentence compression algorithms / summarization systems / sentence / concept-based relationship identification algorithm / multi-document algorithm / law enforcement / proposition bank / /

Organization

Fred Popowich School of Computing Science / Natural Language Lab / MIT / US Federal Reserve / SFU School of Computing Science / Association of Computational Linguistics / Simon Fraser University / Association for Computational Linguistics / /

Person

C. Fellbaum / Eugene Charniak / Kadri Hacioglu / Instrument / Jenine Turner / Dan Jurafsky / Kathleen McKeown / Daniel Marcu / Sameer Pradhan / Wayne Ward / Yang Wang / Mirella Lapata / Anoop Sarkar / Noemie Elhadad / Kevin Knight / Regina Barzilay / James Martin / /

Position

Extractor / Editor / President / Extractor / Editor / CIDs The editor / /

Product

0.0649 0.0714 ROUGE-SU4 0.1171 0.1284 Table / several systems / concepts / /

ProvinceOrState

Rhode Island / Mississippi / Michigan / /

PublishedMedium

Computational Linguistics / Journal of Artificial Intelligence Research / /

Technology

multi-document algorithm / concept-based relationship identification algorithm / existing sentence compression algorithms / /

URL

http /

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